论文标题

作为学术交流的加速器的预印本:数学的经验分析

Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics

论文作者

Wang, Zhiqi, Chen, Yue, Glänzel, Wolfgang

论文摘要

在这项研究中,我们分析了增强学术交流的预印本的关键驱动因素。为此,我们使用四组指标,一个指的是学术沟通,并基于参考书目指标(科学和scopus引用),而其他指标则反映了使用(Mendeley Readers)和社交媒体的使用(Tweets)。因此,我们衡量与预印本出版有关的两种效果:出版延迟和影响。我们定义并使用多个指标来评估日志文章的影响,并在ARXIV中使用先前的预印本版本。特别是,该指标测量了多次表征ARXIV预印本出版过程和期刊版本的审查过程以及引用对预印本的衰老模式的审查过程。此外,我们比较了预印象和非OA文章之间观察到的模式,而没有任何先前的预印版。我们可以观察到,预印本的“早期视图”和“开放式”效应有助于预印本的可衡量引文和读者群体优势。具有预印本版本的文章更有可能在社交媒体中提及,并且具有较短的高度注意力延迟。用法和捕获证明与引用相比,与引用的相关性仅为中等但更强的相关性。不同指标之间的回归线的不同斜率反映了不同的使用,捕获和引文数据的不同数量级。

In this study we analyse the key driving factors of preprints in enhancing scholarly communication. To this end we use four groups of metrics, one referring to scholarly communication and based on bibliometric indicators (Web of Science and Scopus citations), while the others reflect usage (usage counts in Web of Science), capture (Mendeley readers) and social media attention (Tweets). Hereby we measure two effects associated with preprint publishing: publication delay and impact. We define and use several indicators to assess the impact of journal articles with previous preprint versions in arXiv. In particular, the indicators measure several times characterizing the process of arXiv preprints publishing and the reviewing process of the journal versions, and the ageing patterns of citations to preprints. In addition, we compare the observed patterns between preprints and non-OA articles without any previous preprint versions in arXiv. We could observe that the "early-view" and "open-access" effects of preprints contribute to a measurable citation and readership advantage of preprints. Articles with preprint versions are more likely to be mentioned in social media and have shorter Altmetric attention delay. Usage and capture prove to have only moderate but stronger correlation with citations than Tweets. The different slopes of the regression lines between the different indicators reflect different order of magnitude of usage, capture and citation data.

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